that would work

Planning · Optimisation · Decision systems

Better plans.
Defensible decisions.

We build planning and decision systems for operational and capital decisions. Fitted to your constraints. Made for people and AI agents.

From spreadsheets to AI-assisted optimisation. You own the code, models and data.

How it works

One engine for planners and agents.

AI helps people ask questions and explore changes. The planning engine computes the answer, checks the constraints and rejects invalid plans. Every plan, explanation and what-if is available through an API.

Illustrative planning example Plan computed

A planning request in practice

  1. AgentCheck the data for week 29Valid
  2. AgentCompute a production planSolved
  3. PlannerWhy is job #4187 on line 2?Explained
  4. AgentTry moving #4187 to line 1Rejected

The same constraints apply whether a person or an agent requests the change.

Week 29 production plan

Production jobs scheduled across three lines from Monday to Friday
LineMonTueWedThuFri
Line 1#4211 · 12t#4302
Line 2#4187 · 8t
Line 3#4198 · 6tMaintenance#4211
Why is #4187 on line 2?Line 1 is committed to #4211 until Wednesday. Moving it would break the six-hour cure-time constraint and add €4,120.

Built around your operation.

When spreadsheets take days and a planning suite takes months to integrate, a system fitted to your operation is a practical next step. We model your products, resources and constraints, and build the software around them.

The system

Start with the engine. Add what you need.

Use the planning engine through an API, add integration with your existing data, or commission a complete application with an AI layer. Plans and scenarios can be rerun as conditions change.

The delivery

One team from first conversation to production

We bring optimisation mathematics, industry experience and engineering together. The same team builds the data integration, engine, application and AI layer. You own the code, models and data.

Delivered work

Planning in practice

Our work spans production scheduling, scenario planning, demand forecasting and pricing. Each system supports a specific operational decision.

Injection moulding Production plans that account for real constraints

Optimisation-driven production planning, delivered as standalone software and inside ERP and manufacturing execution systems.

High-tech Thousands of scenarios, ranked for the planner

Agentic scenario planning solves thousands of what-if scenarios in parallel and ranks the results into actions a planner can use.

Food and grocery Fresh demand forecasts at store level

Store-level fresh demand forecasting and replenishment planning for a national grocery chain.

Maritime · Pricing SeaScale price intelligence platform

A full platform with an embedded AI agent, delivered on Azure by a team of four. Three months from start to production, including user acceptance testing.

Who we are

The people building your system

Four practitioners with more than 40 years of combined experience. We combine optimisation mathematics, industry knowledge and AI engineering.

Working across Ireland, Singapore and Australia.

Anindya Banerjee

Co-founder · Australia

Learned supply chain mathematics at i2, later Blue Yonder. Built planning systems at Apple, HP and FedEx.

John Curry

Co-founder · Ireland

Twenty years building forecasting, pricing, optimisation and data platforms in telecoms, financial services, manufacturing and the public sector.

Maryam Sana

AI engineering · Europe

Builds our AI systems. Researches foundation models at the University of Marburg.

Suraj Jamodkar

Optimisation engineering · Asia

Start here

Start with one planning decision.

that would work

Bring your hardest planning problem. We’ll start with the decision you need to make.